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Evaluation and projection of precipitation and temperature in a coastal climatic transitional zone in China based on CMIP6 GCMs

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Abstract

Changing climate has altered the trends and variability of precipitation and temperature globally and thereby increasing the risk of natural and social disasters, especially in coastal climatic transitional zones such as the Huaihe river basin (HRB). This paper applies the Empirical Quantile Mapping (EQM) method for bias correction and systematically evaluates the performance of the 30 Global climate models (GCMs) of the Coupled Model Intercomparison Project phase 6 (CMIP6) in simulating precipitation and temperature over the Huaihe river basin (HRB) for 1979–2014. A suitable multi-model ensemble subset (BMME) is selected based on the Euclidean Distance (ED) synthetic metric. Results show that in comparison to the baseline period 1995–2014, precipitation (temperature) over HRB is projected to increase at the rate of around 15 mm/decade (0.1 °C/decade), 16 mm/decade (0.3 °C/decade), 20 mm/decade (0.5 °C/decade), and 15 mm/decade (0.6 °C/decade) for the period 2015–2100, under Shared Socioeconomic Pathways SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5, respectively. In the long-term (2081–2100), the annual precipitation is projected to increase by 32%, 27%, 35%, and 26%, under the four scenarios, respectively. The temperature is projected to remain stable or slightly decrease under SSP1-2.6 (2 °C) and SSP2-4.5 (3 °C), while will keep rising and increasing by 6 °C under SSP5-8.5 and by 4 °C under SSP3-7.0 by 2100. The isotherm and isohyet are projected to shift northwest from southeastern coastal China to inland in the future, which is likely associated with the northwestward shift of the western Pacific anticyclone in summer.

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Data availability

The ground meteorological observation data is provided by the National Meteorological Information Center of China at http://data.cma.gov.cn/. The CMFD data is provided by Qinghai-Tibet Plateau Research Institute of the Chinese Academy of Sciences at http://data.tpdc.ac.cn/zh-hans/. The CMIP6 data is available online at https://esgf-node.llnl.gov/search/cmip6/.

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Acknowledgements

This research was funded by the Key Project of Water Conservancy Science and Technology in Jiangsu Province (2020005). Xin Li is supported financially by the Chinese Scholarship Council (CSC). Jianhui Wei is supported financially by the German Ministry of Education and Research (BMBF) under the project Mitigating the Risk of compound extreme Flooding events MitRiskFlood, grant number 01LP2005A. Joël Arnault is supported financially by the German Funding Agency under the project COSMIC SENSE II, grant number KU 2090/12-2. We are grateful to the National Meteorological Information Center of China and Qinghai-Tibet Plateau Research Institute of the Chinese Academy of Sciences for providing the meteorological observation data (http://data.cma.gov.cn/) and CMFD datasets (http://data.tpdc.ac.cn/zh-hans/). And we also would like to thank the contribution of scientists worldwide who have contributed to the Coupled Model Intercomparison Project (CMIP).

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All authors contributed to the study's conception and design. Data collection and formal analysis were performed by Xin Li and Guohua Fang. The first draft of the manuscript was written by Xin Li and Jianhui Wei. Joël Arnault, Patrick Laux, Xin Wen, and Harald Kunstamann commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Guohua Fang.

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Li, X., Fang, G., Wei, J. et al. Evaluation and projection of precipitation and temperature in a coastal climatic transitional zone in China based on CMIP6 GCMs. Clim Dyn 61, 3911–3933 (2023). https://doi.org/10.1007/s00382-023-06781-z

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  • DOI: https://doi.org/10.1007/s00382-023-06781-z

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